Kimi K3
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What is Kimi K3?
Kimi K3 is Moonshot AI’s most advanced model, designed for high-end reasoning, software engineering, multimodal understanding, knowledge work, and agentic AI applications. The model has 2.8 trillion parameters and is built on Kimi Delta Attention, a hybrid linear attention mechanism created for long-context performance. It also uses Attention Residuals and supports a native context window of up to 1 million tokens. This makes Kimi K3 suitable for tasks involving large codebases, long research materials, enterprise documentation, multi-file analysis, legal documents, technical manuals, and complex workflows. Kimi K3 always has thinking mode enabled, with reasoning effort configured through the reasoning_effort field and maximum effort currently supported as the default. Developers can use the model through an OpenAI-compatible API, making it easier to integrate with existing SDKs, clients, and application infrastructure. The model supports streaming responses with separate reasoning and final-answer deltas, allowing applications to display reasoning progress and final content differently. Kimi K3 also supports strict structured output with JSON Schema, partial mode for continuing from a prefix, custom tool calling, required tool use, and dynamic tool loading through system messages. Its vision capabilities support image and video inputs through base64 or uploaded files, enabling analysis of visual content alongside text. Automatic context caching helps workflows that reuse long prefixes, such as large knowledge bases or persistent system context, without requiring developers to manage cache IDs manually. By combining frontier-scale parameters, long-context processing, visual input, structured outputs, tool orchestration, and developer-friendly API compatibility, Kimi K3 gives teams a strong foundation for advanced AI agents, coding assistants, research systems, enterprise automation, and multimodal applications.
What is Gemini 4 Krypton?
Gemini 4 Krypton is a reportedly experimental large language model associated with Google DeepMind's next generation of Gemini artificial intelligence systems. Although Google has not officially announced the model, unofficial testing reports suggest that it may represent a more computationally intensive approach to AI reasoning and code generation. The model has been discussed as a potential successor or higher-capability alternative to existing Gemini 4 variants, including Argon and Carbon. Early demonstrations attributed to Krypton highlight its apparent ability to generate complex websites, interactive interfaces, animations, and substantial software implementations from written prompts. Testers have reported that the model sometimes requires considerably longer processing times while generating more extensive code than comparable Gemini systems. These observations have led to speculation that Krypton may prioritize detailed planning, implementation depth, and comprehensive task execution over response speed. Potential applications include full-stack application development, automated programming, interface prototyping, technical problem-solving, and AI-driven software engineering workflows. The model could also support advanced research and autonomous agent development if it incorporates the broader reasoning and multimodal capabilities associated with Google's Gemini platform. Important details such as context window size, API access, supported modalities, pricing, licensing, and official evaluation results have not been publicly verified. If Google releases Krypton with capabilities resembling those shown in early demonstrations, it may offer developers and enterprises another option for tackling computationally demanding programming and reasoning tasks.
Media
No images available
Integrations Supported
.NET
C
C#
CSS
Dart
Factory Droid
HTML
Java
JavaScript
JetBrains Junie
Integrations Supported
.NET
C
C#
CSS
Dart
Factory Droid
HTML
Java
JavaScript
JetBrains Junie
API Availability
Has API
API Availability
Has API
Pricing Information
$3 per 1M tokens (input)
Kimi K3 is priced per 1 million tokens:
Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens
Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.
Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens
Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
Moonshot AI
Date Founded
2023
Company Location
China
Company Website
kimi.ai
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
gemini.com
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
AI Reasoning Models
Not specified
Foundation Models
Not specified
Large Language Models
Not specified
Open-Weight AI Models
Not specified
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
AI Reasoning Models
Not specified
AI Vision Models
Not specified
Foundation Models
Not specified
Large Language Models
Not specified
Multimodal Models
Not specified